PLIQUE Guillaume writes: > That's really interesting. I did not know there were so many way to > consider quantiles. Maybe we should indeed wait for numpy to take a > decision on the matter and go with their default choice so we remain > consistent with the ecosystem?
The example of R with 9 variants baked into one function suggests that numpy is unlikely to come up with a single "good" choice. If R's default is to Steven's taste, I would say go with that for cross- language consistency, and hope that numpy makes the same decision. In fact, I would argue that numpy might very well make a decision for a default that has nice mathematical properties, while the stdlib module might very well prefer consistency with R's default since defaults will be used in the same kind of "good enough for government work" contexts in both languages. The main thing is that they're all going to give similar results and in most applications the data will be fuzzy (eg, a sample or subjective), so as long as the same version is accurately documented and used consistently across analyses that should be comparable, results will be sufficiently accurate, perfectly reproducible, and comparable. For my purposes, there's no reason to wait. It's up to Steven, and I trust his taste. Steve _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
